Triple

T19603452
Position Surface form Disambiguated ID Type / Status
Subject Michael Davis E470541 entity
Predicate memberOf P10 FINISHED
Object Milestone Media NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Milestone Media | Statement: [Michael Davis, memberOf, Milestone Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milestone Media
Context triple: [Michael Davis, memberOf, Milestone Media]
  • A. Milestone Media chosen
    Milestone Media is a pioneering comic book company known for creating a diverse universe of predominantly Black and minority superheroes, including characters like Static, Icon, and Hardware, in partnership with DC Comics.
  • B. Jolie Media
    Jolie Media is a media company best known for having owned the now-defunct music streaming service Rdio.
  • C. Mongrel Media
    Mongrel Media is a Canadian independent film distribution company known for releasing art-house, foreign, and critically acclaimed films.
  • D. Millennium Entertainment
    Millennium Entertainment was an American independent film distribution company known for releasing a variety of specialty and genre films in the early 2010s.
  • E. StoneBrook Entertainment
    StoneBrook Entertainment is a film production company known for producing the romantic comedy feature "She Wants Me."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64081af6c8190868b73b07c874cd5 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.